288 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" uni jobs in Denmark
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technology and characterisation. Background within image processing, computer vision, or related fields. Background within in-line process monitoring or related fields. Furthermore, it is an additional
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? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment
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publication record in the relevant area. Proven ability to conduct independent research and analyse experimental data. Experience in teaching at the undergraduate level. For non-Scandinavian candidates
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Copenhagen University Hospital – Amager and Hvidovre. Find information about the department . Job description In the consideration of applications for the professorship, the main emphasis will be
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administrative staff, and students. You should also be structured and meticulous in your work, which is essential when collecting and managing data. Qualifications Documented experience with online gas analyzers
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, computer vision and digital electronics have experience with CAD software (e.g. Fusion 360) have experience with conducting human-robot interaction experiments have experience with the navigation stack in
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: Interviews will be held May 18th. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be
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additional information about the position, please contact Associate Professor and Head of Research Group, Mohammadamin Mohammadifar on moamo@food.dtu.dk Applications received after the deadline will not be
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on in vivo release of LAI suspensions in nonclinical models using the obtained data to generate a risk matrix for in vivo impact of potential particle size variations. A successful outcome of this
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, thermodynamic models, and unit operations, developed as part of research projects at both CERE and KTC. These software tools include but are not limited to the Integrated Computer Aided System (ICAS), CAPCO2